Video Transcript Scraper: Youtube, X (twitter), Tiktok, etc.
No credit card required
Video Transcript Scraper: Youtube, X (twitter), Tiktok, etc.
No credit card required
Scrapes transcripts from any online video / audio content on any plateform (Youtube, X, ..) in any available language. It delivers outputs in both JSON and LLM-ready formats, making it ideal for analytics, and AI-based applications. Perfect for research and building intelligent conversational agents
You can access the Video Transcript Scraper: Youtube, X (twitter), Tiktok, etc. programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "video_url": "https://www.youtube.com/watch?v=vl6jn-DdafM",
10 "language": "",
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("invideoiq/video-transcript-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startVideo Transcript Scraper: Youtube, X (twitter), Tiktok, etc. API in Python
The Apify API client for Python is the official library that allows you to use Video Transcript Scraper: Youtube, X (twitter), Tiktok, etc. API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
InVideoIQ- 85 monthly users
- 20 stars
- 98.5% runs succeeded
- 2.9 hours response time
- Created in Oct 2024
- Modified about 14 hours ago
